A Hybrid Agent Simulation System of Rescue Simulation and USARSim Simulations from Going to Fire-Escape Doors to Evacuation to Shelters

摘要

Disaster & rescue simulations handle complex social issues, the macro level modeling of which is difficult. Agent-based social simulation provides a platform to simulate such social issues. It is ideal that the simulations cover various evacuation patterns and the results are used to make effective plans against disasters. This requires that the behaviors of a numbers of heterogeneous agents are simulated at urban size areas in hostile environments. Representing all buildings of the area by 3D model requires a large amount of computer resources and computing the behaviors of a number of agents takes a lot of computation time. These make it difficult to simulate rescue behaviors at disasters in real scale. We propose a hybrid agent simulation system that switches systems that is suitable for situations during simulations. A hybrid system of two simulations with different time and space resolution makes it possible to simulate urban size human behaviors and indoor movements with less computational resources than doing by one system. This paper presents protocols that connect two systems that are used in RoboCup Rescue Simulation League, Rescue Agent Simulation and USARSim. The prototype system provides a simulation of people's evacuation from going to fire-escape doors to moving to shelters.